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Trainee Databricks Data Engineer Jobs in Georgia

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Data Engineer The Data Foundations team is looking for a Data Engineer ready to own meaningful work ... Architect and implement ELT/ETL pipelines using Databricks and dbt; build robust data workflows on ...

Data Engineer IV

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Data Engineer IV - Modern Enterprise / Lakehouse / AI-Assisted Location: 241 Ralph McGill Blvd, ... Work with Databricks Lakehouse architecture (primary future-state platform) * Support analytics and ...

Data Engineer

Peachtree Corners, GA · Hybrid

$108.30K - $130K/yr

Data Engineer Hybrid 3 days onsite Charlotte (locals only) 10+ months Responsibilities: * Build ... Direct experience of building data pipelines using Azure Data Factory and Databricks. * Developing ...

Data Engineer III

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Proficiency in Databricks, Azure, Spark, Hive, and Airflow is required. Key Responsibilities Data Engineering & Pipeline Development * Design, build, and maintain scalable and reliable data pipelines

Data Engineer

Fayetteville, GA · On-site +1

$100.60K - $120.80K/yr

In this role, you'll develop scalable ETL/ELT workflows feeding Snowflake and Databricks ... data engineering with strong Python, SQL, and Spark skills * Hands-on experience building and ...

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Data Engineer Atlanta, Georgia, United States About the Job Work Arrangement: Hybrid Agency ... Create and manage notebooks (e.g., Fabric Notebooks, Databricks) for data transformation using ...

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Data Engineer A professional basketball team and state-of-the-art arena/entertainment venue that ... Implement orchestration frameworks and Databricks-native workflows to manage dependencies and ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Data Engineer A professional basketball team and state-of-the-art arena/entertainment venue that ... Implement orchestration frameworks and Databricks-native workflows to manage dependencies and ...

Data Engineer

Atlanta, GA

$110.10K - $132.20K/yr

Expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing * DevOps for data, GitHub, automated ...

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing * DevOps for data, GitHub, automated ...

Data Engineer 3

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Data Engineer 3 Location: Atlanta/ Hybrid Client- Southern Co Gas Corp Contract- 1 Year Position ... Support DataBricks and Azure-based testing and quality monitoring workflows Required Qualifications

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

Sr. Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

We are seeking a motivated Data Engineer to join our team and support the modernization of our data ... Databricks. • Support migration and maintenance of SSIS packages from legacy systems. • ...

Sr. Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

We are seeking a motivated Data Engineer to join our team and support the modernization of our data ... Databricks. • Support migration and maintenance of SSIS packages from legacy systems. • ...

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Trainee Databricks Data Engineer information

What is the difference between Trainee Databricks Data Engineer vs Junior Data Engineer?

AspectTrainee Databricks Data EngineerJunior Data Engineer
Required CredentialsBasic knowledge of Databricks, SQL, and data fundamentalsDegree in Computer Science or related field, some experience with data tools
Work EnvironmentTraining programs, mentorship, entry-level projects on Databricks platformEntry-level to mid-level data teams, real-world data projects
Employer & Industry UsageTech companies, data consulting firms, startups focusing on cloud data platformsVariety of industries including finance, healthcare, retail, with data teams

The Trainee Databricks Data Engineer is an entry-level role focused on learning Databricks and data engineering fundamentals, often within training programs. In contrast, a Junior Data Engineer typically has some hands-on experience and works on real data projects. Both roles are common in tech-driven industries, but the trainee position emphasizes skill development, while the junior role involves more independent work.

What are the most commonly searched types of Databricks Data Engineer jobs in Georgia? The most popular types of Databricks Data Engineer jobs in Georgia are:
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What cities in Georgia are hiring for Trainee Databricks Data Engineer jobs? Cities in Georgia with the most Trainee Databricks Data Engineer job openings:
Data Engineer

Data Engineer

Merican

Atlanta, GA • On-site

$110.10K - $132.20K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Data Engineer

The Data Foundations team is looking for a Data Engineer ready to own meaningful work end-to-end. You'll design and deliver production-grade data pipelines, ensure the data your team ships is trustworthy and well-defined, and actively use AI tools like Claude to move faster and build smarter. You bring solid engineering fundamentals and an AI-first mindset to everything you build.

Key Responsibilities:

  • Design & Build Production Pipelines: Architect and implement ELT/ETL pipelines using Databricks and dbt; build robust data workflows on Azure (ADLS, ADF) to support batch and near-real-time use cases.
  • Own Data Quality & Reliability: Take end-to-end ownership of data quality in your domain define schemas, freshness SLAs, and ownership boundaries so that downstream consumers, including the Reporting team, can depend on the data you produce. Use AI to Build Better, Faster: Actively use Claude to generate code, automate repetitive engineering tasks, prototype new solutions, and accelerate delivery while maintaining full ownership and accountability for what ships.
  • Write Maintainable, Tested Code: Write clean, testable Python and SQL; contribute to CI/CD pipelines in Azure DevOps; participate in and lead code reviews with a focus on quality and long-term maintainability.
  • Tune for Performance & Cost: Profile and optimize Databricks notebooks, dbt models, and Snowflake queries to meet SLAs without unnecessary cloud spend.
  • Work Closely with the Reporting Team: Partner with the Reporting team and product managers to understand downstream data needs and deliver data products that directly support business decisions for Growth and Emerging Business.
  • Deliver in Agile Sprints: Operate effectively within Scrum own your sprint commitments, participate in planning and retrospectives, and communicate blockers and progress transparently.
  • Operate & Improve Production Systems: Serve as a primary on-call responder for pipelines in your domain; own incident triage and resolution; write post-incident summaries and translate learnings into platform improvements.

Required Qualifications:

  • Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent experience.
  • 2-4 years of experience in data engineering or a closely related software engineering role.
  • Strong SQL and Python skills applied to data transformation and pipeline development.
  • Hands-on experience with Databricks (Spark, Delta Lake) and Snowflake.
  • Experience building pipelines on Azure (ADF, ADLS, or equivalent).
  • Experience with dbt for data transformation and modeling.
  • Solid Git workflow practices and CI/CD experience, ideally with Azure DevOps.
  • Demonstrated use of AI tools (Claude, GitHub Copilot, or similar) to accelerate and improve your engineering work.
  • Experience working in Agile/Scrum teams.

Preferred Qualifications:

  • Familiarity with data quality frameworks such as Great Expectations or dbt tests.
  • Experience with orchestration tools like Airflow or Azure Data Factory pipelines.
  • Track record of building AI-assisted automation for data engineering tasks.
  • Why - Data Foundations: The Data Foundations team is the data backbone of Client's business, purpose-built to support Growth and Emerging Business initiatives. You won't just maintain infrastructure you'll help define how Client's most ambitious new bets are powered by data, from day one of a product's life. Our team operates at the intersection of scale and speed, and you'll have the freedom to experiment with AI-driven engineering while seeing your work's impact on products used by tens of millions of customers.

TekWissen® Group is an equal opportunity employer supporting workforce diversity.


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About Merican

Sourced by ZipRecruiter

Merican is a IT Service consulting firm, specialized in Digital adoption and Business automation. With our diverse collection of skilled and committed consultants, technology companies, businesses and digital experts, we provide our subject expertise and our unique client service approach, a best-in-class global model of delivery suited to the business demands of our clients. We ensure that we implement future-oriented solutions for our clients via investments in people, solutions, technologies, competencies and infrastructure.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Columbia , MD, US

Year founded

2020

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